Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jessica Cara Mar"'
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-26 (2023)
Abstract Background Single-cell RNA-sequencing (scRNA-seq) technologies enable the capture of gene expression heterogeneity and consequently facilitate the study of cell-to-cell variability at the cell type level. Although different methods have been
Externí odkaz:
https://doaj.org/article/7e7f36650d2f418da0005b09a2f028c0
Publikováno v:
Frontiers in Molecular Biosciences, Vol 8 (2022)
Integrating single cell omics and single cell imaging allows for a more effective characterisation of the underlying mechanisms that drive a phenotype at the tissue level, creating a comprehensive profile at the cellular level. Although the use of im
Externí odkaz:
https://doaj.org/article/fd6a59a1c0384025a2844d412ffcb663
Autor:
Mohammad Mahfuz Chowdhury, Samuel Zimmerman, Hannah Leeson, Christian Maximilian Nefzger, Jessica Cara Mar, Andrew Laslett, Jose Maria Polo, Ernst Wolvetang, Justin John Cooper-White
Cell reprogramming involves time-intensive, costly processes that ultimately produce low numbers of reprogrammed cells of variable quality. By screening a range of polyacrylamide hydrogels (pAAm gels) of varying stiffness (1 kPA – 1.3 MPa) we found
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e26f15f9bc292caf1811bbff14aeca0
https://doi.org/10.1101/2023.02.27.530366
https://doi.org/10.1101/2023.02.27.530366
BackgroundSingle-cell RNA-sequencing (scRNA-seq) technologies enable the capture of gene expression heterogeneity and consequently cell-to-cell variability at the cell type level. Although different methods have been proposed to quantify cell-to-cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3caed8cc7e837b1376d1f3add84fe2d6
https://doi.org/10.1101/2022.11.24.517880
https://doi.org/10.1101/2022.11.24.517880
Publikováno v:
Briefings in bioinformatics. 23(6)
Accurately identifying cell-populations is paramount to the quality of downstream analyses and overall interpretations of single-cell RNA-seq (scRNA-seq) datasets but remains a challenge. The quality of single-cell clustering depends on the proximity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aad29367d8c3e76175ec549f705010ae
https://pubmed.ncbi.nlm.nih.gov/36151725
https://pubmed.ncbi.nlm.nih.gov/36151725
Accurately identifying cell populations is paramount to the quality of downstream analyses and overall interpretations of single-cell RNA-seq (scRNA-seq) datasets but remains a challenge. The quality of single-cell clustering depends on the proximity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::139f39a3ace94c411198cf57475122c9
https://doi.org/10.1101/2022.04.21.489121
https://doi.org/10.1101/2022.04.21.489121